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technology in forming sociotechnical imaginaries of sustainable futures through multi-sited fieldwork including interviews, observations and document analysis. The focus is on both narratives and concrete
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advanced computational tools to dissect the role of alternative splicing in these diseases. The postdoctoral fellows will work on computational method development and data analysis for bulk and single-cell
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former peat mining sites. The role will involve data analysis, spatial modelling, and stakeholder engagement to assess the hydrological and ecosystem service benefits of NBS, with a focus on nutrient
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. Technical skills: Proficiency in computational design tools such as Grasshopper, Rhino, Python, or similar. Familiarity with immersive technologies (e.g., Unity, Unreal Engine). Experience with data analysis
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assays relevant to homeostasis and metabolism. Expertise in fluorescence-based microscopy and image analysis is highly desirable. A collegial and adaptive team player with a high degree of professional
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technologies. This project requires a broad understanding of the atomic, dynamical and electronic properties of materials, as well as techniques for analysis of simulations. Prior experience with atomistic